This repository creates animated visualizations comparing how different TensorFlow optimizers traverse loss landscapes toward minima. Users can observe how algorithms like Adam, Adadelta, Adagrad, Momentum, RMSProp, and GradientDescent behave differently when gradients are steep or near-flat. It serves as a learning aid for understanding optimization algorithm dynamics.